Multibeam bathymetry raw data (Kongsberg EM 122 entire dataset) of RV MARIA S. MERIAN during cruise MSM30

Multibeam bathymetry raw data using the ship's own Kongsberg EM 122 multibeam echosounder was almost continuously recorded during RV MARIA S. MERIAN cruise MSM30. Data was recorded on 25 days between 2013-07-17 and 2013-08-14. This dataset contains a survey in the North Atlantic Ocean south of...

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Bibliographic Details
Main Authors: Hanebuth, Till J J, Rebesco, Michele, Urgeles, Roger, Özmaral, Asli
Format: Dataset
Language:English
Published: PANGAEA 2023
Subjects:
Online Access:https://doi.pangaea.de/10.1594/PANGAEA.927128
https://doi.org/10.1594/PANGAEA.927128
Description
Summary:Multibeam bathymetry raw data using the ship's own Kongsberg EM 122 multibeam echosounder was almost continuously recorded during RV MARIA S. MERIAN cruise MSM30. Data was recorded on 25 days between 2013-07-17 and 2013-08-14. This dataset contains a survey in the North Atlantic Ocean south of Svalbard. The approximate average depth of the entire dataset is around 1200m. The data are archived at the Federal Maritime and Hydrographic Agency of Germany (Bundesamt für Seeschifffahrt und Hydrographie, BSH) and provided to PANGAEA database for data curation and publication. Ancillary sound velocity profiles (SVP) files from the cruise are archived at the BSH, thus SVP files are added to this dataset. Also data analysis of the multibeam raw data revealed that SVP has been changed during the survey. This publication is conducted within the efforts of the German Marine Research Alliance in the core area 'Data management and Digitalization' (Deutsche Allianz Meeresforschung, DAM). Data are unprocessed and therefore contains incorrect depth measurements (artifacts) without further processing. Note that refraction errors can be expected due to the lack of proper SVP. Overall, it appears that the data quality is rather good since the gridded hillshade data showed relatively few obstacles. However, a few files are of bad data quality. The reason is unknown. Data can be processed e.g. with the open source software package MB-System (Caress, D. W., and D. N. Chayes, MB-System: Mapping the Seafloor, http://www.mbari.org/products/research-software/mb-system/, 2022).